UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

Overview

UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model

Official repository for the ICCV 2021 paper:
UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model [PDF]

Haonan Yan, Jiaqi Chen, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng

Introduction

teaser In this work, we introduce a new 3D human-body model with a series of decoupled parameters that could freely control the generation of the body. Furthermore, we build a data generation system based on this decoupling 3D model, and construct an ultra dense synthetic benchmark UltraPose, containing around 1.3 billion corresponding points.

Code and Dataset

will be coming soon.

Citation

If you use this code and benchmark for your research, please cite our work:

@inproceedings{yan2021ultrapose,
  title={UltraPose: Synthesizing Dense Pose With 1 Billion Points by Human-Body Decoupling 3D Model},
  author={Yan, Haonan and Chen, Jiaqi and Zhang, Xujie and Zhang, Shengkai and Jiao, Nianhong and Liang, Xiaodan and Zheng, Tianxiang},
  booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision},
  pages={10891--10900},
  year={2021}
}
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Comments
  • how to visualize the mesh model?

    how to visualize the mesh model?

    Hi , thanks for sharing this wonderful work, I have use the gen_iuv you provided to visualize the 2d points in original image like below , 1879308306 but it seem there are no vertex that can used for visualize the mesh model, can you provide? thanks~

    opened by visonpon 1
  • 关于code

    关于code

    Can you release a video of the demonstration? In addition, I want to know whether the parametric model it obtains is the size of the real scale? Because the size needs to be calculated, it is better if it is a real size. Can I use depth data or point cloud data to generate a parametric model?

    opened by socketing 0
  • annotations

    annotations

    Thans for your excellent work! According to the paper, the pose data were rendered according to the 3d model, and there is no error. However, when I visual the test image,I found that there were obvious errors。so I want to know what went wrong? "Third, the generated data annotations are absolute truth values without any error, and perfectly repre- sent the corresponding relationship between the 2D image and the surface of human body."

    image

    opened by liuzhihui2046 2
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